Giulio Zizzo

Orcid: 0009-0004-5750-5744

According to our database1, Giulio Zizzo authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing.
CoRR, 2024

Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation.
CoRR, 2024

Domain Adaptation for Time series Transformers using One-step fine-tuning.
CoRR, 2024

2023
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience.
CoRR, 2023

Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.
CoRR, 2023

A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.
Proceedings of the IEEE European Symposium on Security and Privacy, 2023

Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks.
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Robust Learning Protocol for Federated Tumor Segmentation Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022


Security and Robustness in Federated Learning.
Proceedings of the Federated Learning, 2022

2021
Certified Federated Adversarial Training.
CoRR, 2021

2020
FAT: Federated Adversarial Training.
CoRR, 2020

Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems.
Proceedings of the 19th IEEE International Conference on Trust, 2020

2019
Intrusion Detection for Industrial Control Systems: Evaluation Analysis and Adversarial Attacks.
CoRR, 2019

Deep Latent Defence.
CoRR, 2019

Adversarial Machine Learning Beyond the Image Domain.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
CPS-MT: A Real-Time Cyber-Physical System Monitoring Tool for Security Research.
Proceedings of the 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2018

2017
Position Tracking During Human Walking Using an Integrated Wearable Sensing System.
Sensors, 2017


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